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Citizen science
Citizen science (similar to community science, crowd science, crowd-sourced science, civic science, participatory monitoring, or volunteer monitoring) is scientific research conducted with participation from the general public (who are sometimes referred to as amateur/nonprofessional scientists). There are variations in the exact definition of citizen science, with different individuals and organizations having their own specific interpretations of what citizen science encompasses. Citizen science is used in a wide range of areas of study, with most citizen science research publications being in the fields of biology and conservation. There are different applications and functions of citizen science in research projects. Citizen science can be used as a methodology where public volunteers help in collecting and classifying data, improving the scientific community's capacity. Citizen science can also involve more direct involvement from the public, with communities initiating projects researching environment and health hazards in their own communities. Participation in citizen science projects also educates the public about the scientific process and increases awareness about different topics. Some schools have students participate in citizen science projects for this purpose as a part of the teaching curriculums. The first use of the term "citizen science" can be found in a January 1989 issue of MIT Technology Review, which featured three community-based labs studying environmental issues. In the 21st century, the number of citizen science projects, publications, and funding opportunities has increased. Citizen science has been used more over time, a trend helped by technological advancements. Digital citizen science platforms, such as Zooniverse, store large amounts of data for many projects and are a place where volunteers can learn how to contribute to projects. For some projects, participants are instructed to collect and enter data, such as what species they observed, into large digital global databases.
